M. J. Brown

3.1k citations
69 papers · 2.3k indexed · h-index 25

Impact in

Papers in

M. J. Brown

64 papers receiving 2.2k citations

Peers

M. J. Brown
Comparison fields: 5 of 134
  • Internal Medicine 257
  • Critical Care and Intensive Care Medicine 191
  • Cardiology and Cardiovascular Medicine 526
  • Immunology and Allergy 123
  • Endocrine and Autonomic Systems 130
Replace André Haeberli with:
André Haeberli Switzerland
Bernhard M. W. Schmidt Germany
David M. Dudzinski United States
Gaspare Parrinello Italy
Mauro Maniscalco Italy
Irvin Mayers Canada
Richard Simons Canada
Stylianos E. Orfanos Greece
Maria Teresa Guagnano Italy
Alessandro Giuseppe Fois Italy
M. J. Brown relative to André Haeberli Switzerland André Haeberli's profile →
Citations per field
00.5×10.4×
André Haeberli · 1×
Citations per year

Countries citing papers authored by M. J. Brown

Since Specialization
Citations

This map shows the geographic impact of M. J. Brown's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by M. J. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. J. Brown more than expected).

Fields of papers citing papers by M. J. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. J. Brown. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by M. J. Brown. The network helps show where M. J. Brown may publish in the future.

Co-authorship network

The 25 scholars most cited alongside M. J. Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. J. Brown Line = papers co-authored together M. J. Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20254
2 20250
3 20250
4 20251
5 20252
6 20257
7 20242
8 202411
9 202423
10 202360
11 20231
12 20231
13 20236
14 20135
15 20115
16
The Canadian Journey: An Odyssey into the Complex World of Bank Note Production
20073
17 200730
18 200085
19 199813
20 19909

About M. J. Brown

M. J. Brown is a scholar working on Health, Toxicology and Mutagenesis, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Immunology and Allergy, having authored 69 papers that have together received 2.3k indexed citations. Recurring topics across this work include Radiation Dose and Imaging (18 papers), Climate Change and Health Impacts (17 papers), Healthcare cost, quality, practices (9 papers), Blood Pressure and Hypertension Studies (7 papers), Hormonal Regulation and Hypertension (7 papers), Asthma and respiratory diseases (7 papers), Advances in Oncology and Radiotherapy (5 papers) and Renin-Angiotensin System Studies (4 papers). The work is most often cited by research in Internal Medicine (257 citations), Critical Care and Intensive Care Medicine (191 citations), Cardiology and Cardiovascular Medicine (526 citations), Immunology and Allergy (123 citations) and Endocrine and Autonomic Systems (130 citations). M. J. Brown has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Roger C. Causon, C. Linsell, Stafford L. Lightman, P.E. Mullen, Néstor L. Müller, P.W. Ind, C. T. Dollery, Jacques Rémy, Claude Hossein-Foucher and Martine Rémy‐Jardin. Their work appears in journals such as Radiology, Clinical Science, Journal of Allergy and Clinical Immunology, Clinical Radiology and Journal of Cardiovascular Pharmacology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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